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A Complete Analysis of the Performance of Extended Kalman Filter for the State Estimation of Three Phase Induction Motor
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Abstract: In this paper the author have designed and implemented an Extended Kalman filter (EKF) on the simulated model of the three-phase induction motor. An extensive simulation study has been carried out to asses the performances of the filter under various machine operating conditions and model uncertainties. In this work, it has been shown that the performance of EKF is found to be better under normal operating conditions and Initial condition mismatch, loading the machine as well as speed reversal. Here performance of the filter is analyzed as a measure of Mean Square Error.
Keywords: EKF, Induction Motor, State Estimation. Mean square error
Keywords: EKF, Induction Motor, State Estimation. Mean square error
How to Cite:
[1] G.DEVI, âA Complete Analysis of the Performance of Extended Kalman Filter for the State Estimation of Three Phase Induction Motor,â International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE)
